Study type

Study topic

Disease /health condition

Study type

Non-interventional study
Non-interventional study

Scope of the study

Safety study (incl. comparative)

Data collection methods

Secondary data collection

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

Forxiga
Xigduo

Name of medicine, other

Farxiga, Xigduo XR

Study drug International non-proprietary name (INN) or common name

DAPAGLIFLOZIN

Anatomical Therapeutic Chemical (ATC) code

100000157824
metformin and dapagliflozin
100000167183
saxagliptin and dapagliflozin
200000004834
metformin, saxagliptin and dapagliflozin
100000171828
dapagliflozin

Medical condition to be studied

Breast cancer
Bladder cancer
Population studied

Short description of the study population

Patients newly initiating dapagliflozin (with or without concomitant use of any other antidiabetic drugs [AD]) or newly initiating an eligible comparator AD (with or without concomitant use of any other AD) during the study period, evaluated for selection into the study cohorts individually for study from each data source.

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

1800000
Study design details

Study design

Cohort study with an active-comparator, new-user design.

Main study objective

To compare, among patients with type 2 diabetes, who are new users of dapagliflozin and patients who are new users of ADs (1) the incidence of invasive breast cancer and (2) the incidence of insitu and invasive bladder cancer.

Setting

The study is being conducted in four population-based health care data sources:
• CPRD in the UK, specifically, CPRD GOLD
• PHARMO in the Netherlands
• The HIRD in the US
• Medicare in the US

Comparators

New users of ADs in classes other than SGLT2 inhibitors, insulin monotherapy, metformin monotherapy, or sulfonylurea monotherapy.

Outcomes

Primary outcomes: Female breast cancer and bladder cancer.
Secondary outcomes: Composite incidence of selected cancers among males (prostate, colon/rectum, lung, stomach, non-Hodgkin lymphoma (NHL), and melanoma of skin) and among females (colon/rectum, lung, corpus uteri, ovary, stomach, NHL and melanoma of skin). Frequency of health care utilization measures during follow up.

Data analysis plan

Descriptive statistics will be calculated to compare baseline characteristics at cohort entry between dapagliflozin users versus comparator antidiabetic users separately for each outcome. Propensity scores will be estimated by using logistic regression, with measured potential predictors of the cancer outcome as independent variables in the regression model and actual exposure group (dapagliflozin or comparator) as the outcome. Incidence rates of each outcome will be estimated during exposure time at risk for dapagliflozin initiators and comparators. Unadjusted incidence rate ratios (IRRs) of the outcomes of interest with 95% confidence intervals in dapagliflozin users versus other AD users will be calculated and adjusted using propensity score–stratified analysis. Analyses will be conducted in each data source separately, and a pooled estimate will be calculated if deemed appropriate.
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